RESEARCH ON POWER TRANSMISSION CHANNEL CHANGE DETECTION BASED ON MULTI-TEMPORAL POINT CLOUD DATA

被引：0

作者：

Hu, Wei ^{[1
]}

Yang, Guozhu ^{[1
]}

Liu, Ning ^{[1
]}

Liu, Fei ^{[2
]}

Ma, Chuntian ^{[1
]}

Tian, Maojie ^{[1
]}

Hao, Chunting ^{[2
]}

机构：

[1] State Grid Elect Power Space Technol Co Ltd, Beijing, Peoples R China

[2] Beijing Univ Civil Engn & Architecture, Beijing, Peoples R China

来源：

GEOSPATIAL WEEK 2023, VOL. 48-1 | 2023年

基金：

中国国家自然科学基金;

关键词：

ICP Algorithm; Change Detection; Point Cloud Registration; Multi-temporal Point Cloud;

D O I：

10.5194/isprs-archives-XLVIII-1-W2-2023-727-2023

中图分类号：

K85 [文物考古];

学科分类号：

0601 ;

摘要：

Airborne LiDAR can directly obtain 3D information of ground objects. By comparing the multi-temporal LiDAR data, ground objects change information of power transmission channel can be detected, providing data support for transmission line operation and maintenance. In this paper, an improved ICP algorithm based on multi-temporal LiDAR point cloud data power transmission channel ground object change detection method is proposed. Firstly, based on the classification of point cloud data, a two-level matching method of multi-temporal point cloud data considering the characteristics of power transmission channel was proposed to achieve accurate registration of point cloud data. Then, change detection and analysis of different types of ground feature point cloud data were carried out through elevation difference. Finally, cluster analysis was carried out on the changed ground feature points to generate multi-temporal relative ratio analysis report. Experimental results show that the proposed method can effectively detect power transmission channel changes.

引用

页码：727 / 732

页数：6

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